> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.itspropel.com/llms.txt. > For full documentation content, see https://docs.itspropel.com/llms-full.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.itspropel.com/_mcp/server. # Create AI Prompt POST https://ai/prompts Content-Type: multipart/form-data Reference: https://docs.itspropel.com/propel-biz/19-ai/ai-prompts/create-ai-prompt ## OpenAPI Specification ```yaml openapi: 3.1.0 info: title: PropelBiz version: 1.0.0 paths: /ai/prompts: post: operationId: create-ai-prompt summary: Create AI Prompt tags: - subpackage_19Ai.subpackage_19Ai/aiPrompts parameters: - name: '{{tenant_key_name}}' in: header required: false schema: type: string responses: '200': description: Successful response content: application/json: schema: $ref: >- #/components/schemas/19 AI_AI Prompts_Create AI Prompt_Response_200 requestBody: content: multipart/form-data: schema: type: object properties: name: type: string description: >- Required: Prompt template name - max 255 chars - "Brief Summary" slug: type: string description: >- Optional: URL-safe identifier (auto-generated from name) - max 100 chars use_case: type: string description: >- Required: Use case category - summarize|categorize|generate - "summarize" is_active: type: string description: 'Optional: Whether prompt is active - boolean - true' max_tokens: type: string description: 'Optional: Override max tokens - integer min:1 max:100000' prompt_text: type: string description: 'Required: Prompt template with {{placeholders}} - string' temperature: type: string description: >- Optional: AI temperature (creativity) - numeric min:0 max:2 - 0.3 model_override: type: string description: >- Optional: Override account default model - max 100 chars - "gpt-4o" available_variables[]: type: string description: 'Optional: Supported placeholder variables - array of strings' required: - name - slug - use_case - is_active - max_tokens - prompt_text - temperature - model_override - available_variables[] servers: - url: https:/ components: schemas: 19 AI_AI Prompts_Create AI Prompt_Response_200: type: object properties: {} description: Empty response body title: 19 AI_AI Prompts_Create AI Prompt_Response_200 ``` ## SDK Code Examples ```python import requests url = "https://https/ai/prompts" payload = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"name\"\r\n\r\nCustomer Feedback Summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"slug\"\r\n\r\ncustomer-feedback-summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"use_case\"\r\n\r\nsummarize\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"is_active\"\r\n\r\ntrue\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_tokens\"\r\n\r\n500\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_text\"\r\n\r\nSummarize the following customer feedback: {{feedback_text}}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"temperature\"\r\n\r\n0.7\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model_override\"\r\n\r\ngpt-4o\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"available_variables[]\"\r\n\r\nfeedback_text, customer_name, product_name\r\n-----011000010111000001101001--\r\n" headers = { "{{tenant_key_name}}": "{{tenant_key_value1}}|{{tenant_key_value2}}", "Content-Type": "multipart/form-data; boundary=---011000010111000001101001" } response = requests.post(url, data=payload, headers=headers) print(response.json()) ``` ```javascript const url = 'https://https/ai/prompts'; const form = new FormData(); form.append('name', 'Customer Feedback Summary'); form.append('slug', 'customer-feedback-summary'); form.append('use_case', 'summarize'); form.append('is_active', 'true'); form.append('max_tokens', '500'); form.append('prompt_text', 'Summarize the following customer feedback: {{feedback_text}}'); form.append('temperature', '0.7'); form.append('model_override', 'gpt-4o'); form.append('available_variables[]', 'feedback_text, customer_name, product_name'); const options = { method: 'POST', headers: {'{{tenant_key_name}}': '{{tenant_key_value1}}|{{tenant_key_value2}}'} }; options.body = form; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://https/ai/prompts" payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"name\"\r\n\r\nCustomer Feedback Summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"slug\"\r\n\r\ncustomer-feedback-summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"use_case\"\r\n\r\nsummarize\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"is_active\"\r\n\r\ntrue\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_tokens\"\r\n\r\n500\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_text\"\r\n\r\nSummarize the following customer feedback: {{feedback_text}}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"temperature\"\r\n\r\n0.7\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model_override\"\r\n\r\ngpt-4o\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"available_variables[]\"\r\n\r\nfeedback_text, customer_name, product_name\r\n-----011000010111000001101001--\r\n") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("{{tenant_key_name}}", "{{tenant_key_value1}}|{{tenant_key_value2}}") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby require 'uri' require 'net/http' url = URI("https://https/ai/prompts") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["{{tenant_key_name}}"] = '{{tenant_key_value1}}|{{tenant_key_value2}}' request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"name\"\r\n\r\nCustomer Feedback Summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"slug\"\r\n\r\ncustomer-feedback-summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"use_case\"\r\n\r\nsummarize\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"is_active\"\r\n\r\ntrue\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_tokens\"\r\n\r\n500\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_text\"\r\n\r\nSummarize the following customer feedback: {{feedback_text}}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"temperature\"\r\n\r\n0.7\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model_override\"\r\n\r\ngpt-4o\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"available_variables[]\"\r\n\r\nfeedback_text, customer_name, product_name\r\n-----011000010111000001101001--\r\n" response = http.request(request) puts response.read_body ``` ```java import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://https/ai/prompts") .header("{{tenant_key_name}}", "{{tenant_key_value1}}|{{tenant_key_value2}}") .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"name\"\r\n\r\nCustomer Feedback Summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"slug\"\r\n\r\ncustomer-feedback-summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"use_case\"\r\n\r\nsummarize\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"is_active\"\r\n\r\ntrue\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_tokens\"\r\n\r\n500\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_text\"\r\n\r\nSummarize the following customer feedback: {{feedback_text}}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"temperature\"\r\n\r\n0.7\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model_override\"\r\n\r\ngpt-4o\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"available_variables[]\"\r\n\r\nfeedback_text, customer_name, product_name\r\n-----011000010111000001101001--\r\n") .asString(); ``` ```php request('POST', 'https://https/ai/prompts', [ 'multipart' => [ [ 'name' => 'name', 'contents' => 'Customer Feedback Summary' ], [ 'name' => 'slug', 'contents' => 'customer-feedback-summary' ], [ 'name' => 'use_case', 'contents' => 'summarize' ], [ 'name' => 'is_active', 'contents' => 'true' ], [ 'name' => 'max_tokens', 'contents' => '500' ], [ 'name' => 'prompt_text', 'contents' => 'Summarize the following customer feedback: {{feedback_text}}' ], [ 'name' => 'temperature', 'contents' => '0.7' ], [ 'name' => 'model_override', 'contents' => 'gpt-4o' ], [ 'name' => 'available_variables[]', 'contents' => 'feedback_text, customer_name, product_name' ] ] 'headers' => [ '{{tenant_key_name}}' => '{{tenant_key_value1}}|{{tenant_key_value2}}', ], ]); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("https://https/ai/prompts"); var request = new RestRequest(Method.POST); request.AddHeader("{{tenant_key_name}}", "{{tenant_key_value1}}|{{tenant_key_value2}}"); request.AddParameter("undefined", "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"name\"\r\n\r\nCustomer Feedback Summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"slug\"\r\n\r\ncustomer-feedback-summary\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"use_case\"\r\n\r\nsummarize\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"is_active\"\r\n\r\ntrue\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_tokens\"\r\n\r\n500\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_text\"\r\n\r\nSummarize the following customer feedback: {{feedback_text}}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"temperature\"\r\n\r\n0.7\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model_override\"\r\n\r\ngpt-4o\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"available_variables[]\"\r\n\r\nfeedback_text, customer_name, product_name\r\n-----011000010111000001101001--\r\n", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let headers = ["{{tenant_key_name}}": "{{tenant_key_value1}}|{{tenant_key_value2}}"] let parameters = [ [ "name": "name", "value": "Customer Feedback Summary" ], [ "name": "slug", "value": "customer-feedback-summary" ], [ "name": "use_case", "value": "summarize" ], [ "name": "is_active", "value": "true" ], [ "name": "max_tokens", "value": "500" ], [ "name": "prompt_text", "value": "Summarize the following customer feedback: {{feedback_text}}" ], [ "name": "temperature", "value": "0.7" ], [ "name": "model_override", "value": "gpt-4o" ], [ "name": "available_variables[]", "value": "feedback_text, customer_name, product_name" ] ] let boundary = "---011000010111000001101001" var body = "" var error: NSError? = nil for param in parameters { let paramName = param["name"]! body += "--\(boundary)\r\n" body += "Content-Disposition:form-data; name=\"\(paramName)\"" if let filename = param["fileName"] { let contentType = param["content-type"]! let fileContent = String(contentsOfFile: filename, encoding: String.Encoding.utf8) if (error != nil) { print(error as Any) } body += "; filename=\"\(filename)\"\r\n" body += "Content-Type: \(contentType)\r\n\r\n" body += fileContent } else if let paramValue = param["value"] { body += "\r\n\r\n\(paramValue)" } } let request = NSMutableURLRequest(url: NSURL(string: "https://https/ai/prompts")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ```